Shadowing Practice: What Is a Pricing Analyst? - Responsibilities, Career Path & Skills - Learn English Speaking with Video
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Hey everyone, it's Jay here and today we're going to be diving into this little under the radar job called pricing analysts.
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What do they actually do?
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How do they help businesses make pricing decisions?
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Well, today we'll find out.
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All right, pricing analysts are like the superheroes of the business world, kind of.
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They make sure that businesses just charge the right prices for their products
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and this is a core concept of business if you might imagine because they have to make money.
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And you might be thinking,
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you know, how hard could that actually be?
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Well, it's actually pretty darn tough.
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On a daily basis, pricing analysts have to take in tons of information.
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They have to analyze market trends,
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customer preferences, understand competitor pricing as well,
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all to create the perfect pricing model or dynamic pricing model that can work in any situation or season.
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They also keep a close eye on supply and demand, right?
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Because that affects how much they should price their products as well.
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And of course, they have to integrate with different departments like marketing
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and sales so everyone can be on the same page when it comes to pricing.
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One of the main tasks for an advanced pricing analyst is to create advanced pricing models.
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For example, if you're looking at distribution costs,
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production costs, and market demand of a new product,
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all of that will feature into the actual price that then gets adjusted on a continuous basis.
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So enough talking about this,
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let's just dive into a fun example to make it a little clearer.
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Picture that you're a pricing analyst for an airline, right?
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If you've ever bought an airline ticket,
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which I'm sure most of you have,
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you've seen that the prices for airline tickets changes depending on when you buy it and when you're trying to travel.
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As an airline price analyst,
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you have to make sure that your prices are competitive against every other airline because there's a ton of them.
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And you also need to make sure that the margin actually makes sense so you're not losing money at the end.
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What you do is you create a model by gathering data.
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You get the data on available seats on each plane,
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current flight prices across different airlines and general seasonal demand as well.
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And you use that to develop a pricing strategy and a model
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that allows an airline to remain competitive for any point of time
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and have this dynamic pricing model that changes depending on when you buy it.
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And of course, pricing models for airlines are more discriminatory in terms of the fact
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that if you buy a flight a day before you're actually traveling,
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it's gonna be way more expensive than if you're buying it two weeks or two months beforehand.
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It's also about trying to figure out ways to maximize profits for these companies.
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And that means offering discounts or working with a marketing department to offer sales.
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But in general, it's a delicate balance.
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And so the pricing analytics job is actually very, very important.
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Now, a lot of people get confused with pricing analysts and data analysts.
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And in my opinion, pricing analysts actually fall within the umbrella of data analysts.
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For example, if we take another scenario,
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like let's say you're a pricing analyst at a software company that just sells B2B software.
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So this could be Salesforce,
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this could be Microsoft, et cetera.
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While a data analyst would probably focus more on general kind of longer term goals and user behavior,
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such as looking at customer churn analysis,
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looking at retention, understanding exactly how customers interact with the software at whole.
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Like if I'm using Microsoft Excel,
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how am I using it?
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Or Google Docs, such like that.
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Pricing analysts focus a lot more on the actual price part of it.
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So they could be also looking at user retention,
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let's say, or customer retention on their products,
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but looking at it at different price points or looking at for different size of companies that are also buying their products.
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Right.
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And so we'd have a pricing analyst that might notice that,
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you know, customers churn more based on this specific price than another price.
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All the data analysts would be looking at customer churn based on user behavior on their platform
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and so they may want to introduce new features.
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So the core concept really is that just pricing analysts do all the analytics that just focus on pricing.
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If you're a data analyst at a company,
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you could also be focused on pricing for most of your time.
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As companies grow and the need for specialization develops,
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that's where you get pricing analysts as its own core job.
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Now let's see what it takes to become an actual pricing analyst.
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A lot of the times it's very similar to with data analysts.
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So this means skills in Excel,
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SQL, Tableau, other data visualization tools,
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basically anything that combines that business plus analytics mindset.
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For example, SQL is super popular for pricing analysts
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because you have to understand that pricing analysts dig through a lot of data.
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We're talking about thousands, millions,
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or even billions of rows of different kinds of pricing data points that they need to use for their models.
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Other more intangible skills are things kind of like analytical thinking and critical thinking.
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So this would be effectively what's used for almost any kind
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of analytical position where you have to understand frameworks to create these models and introduce new initiatives for different prices.
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Then we're also talking about communication as being really important because as a pricing analyst,
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you're going to be working with a lot of product stakeholders
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and executives because price is such a big part of the job and of the business.
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So how do you become a pricing analyst?
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Well, if you are already in your career and you're looking to become a pricing analyst,
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then the easiest way would be to start working on data analytics types projects.
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So if you're a data analyst,
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it's pretty easy to transition over to pricing.
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But if you're not already an analyst,
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then it's worth maybe looking at education backgrounds that you could potentially use.
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So if you're starting out,
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let's say you're in college,
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then just studying something like economics,
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math, business, you know, computer science,
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data science would all be helpful towards becoming a pricing analysts.
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And if you're looking to make a career transition then getting a master's degree in data science
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or analytics is also super helpful as well additionally just learning sql
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and coding can also put you on that path
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if you work for example in customer success
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or maybe you're completely in a different field such as you're
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a teacher then just understanding the skills of sql data visualization
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is going to be a huge step forward towards having those qualifications to become a pricing analyst.
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The interview process also depends on what kind of skill level you are as a analyst.
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So if you're transitioning into the field and you're going for a more junior role,
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they might not ask you that many technical questions
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and kind of teach you on the job
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because they might have a lot more custom formulas or implementations
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that you need to know that it's very specific for the industry at large.
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For example, airline pricing is a lot more different than retail pricing at Walmart.
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And a lot of that is going to be industry specific knowledge that you might pick up on the job.
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Now, if you are more advanced and you are kind of looking to transition for a more senior level role,
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it's going to be a lot more technical heavy in terms of understanding
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that you can program in Python potentially or SQL and
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that you've had experience using data visualization tools that they might have used or just data visualization in general, right?
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Because a lot of it is about presenting your insights and communicating with these business stakeholders.
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All right, that wraps up our overview of the pricing analytics field and pricing analysts at a whole.
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I hope that you learned exactly what a pricing analyst does and a couple examples about pricing analytics.
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If you're interested in the field and you don't know where to start,
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I'd highly recommend checking out also interview query to learn a little bit about SQL,
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Python, and practice a different couple questions there.
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Otherwise, you know, there's tons of resources and please,
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you know, comment below if if you have any more additional questions that I can respond to,
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and I'll catch you all later.
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Bye.
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Vocabulario y notas de pronunciación para esta lección
Esta lección de conversación de nivel C1 se basa en el vídeo “What Is a Pricing Analyst? - Responsibilities, Career Path & Skills”. Las palabras que más se repiten: pricing, analyst, price, airline, model. Este vídeo tiene 126 frases y 1459 palabras para practicar shadowing. La parte hablada dura 7:16. El hablante habla rápido, unas 201 palabras por minuto, así que espera sonidos enlazados y reducidos. El 82 % de las palabras está entre las 3.000 más comunes del inglés; conviene repasar el resto antes de empezar.
Vocabulario clave de este vídeo
Las 15 palabras más avanzadas del vídeo, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| airline sustantivo | /ˈɛɹˌlaɪn/ | aerolínea, compañía aérea |
| analytics sustantivo | /ˌæn.əˈlɪt.ɪks/ | analítica |
| visualization sustantivo | /ˌvɪʒ.ʊ.ə.laɪˈzeɪ.ʃən/ | visualización |
| churn verbo | /t͡ʃɝn/ | batir, agitar |
| retention sustantivo | /ɹɪˈtɛnʃən/ | retención |
| stakeholder sustantivo | /ˈsteɪkˌhəʊl.də/ | apostador, baratero (chapas, juego de apuestas) |
| discriminatory adjetivo | /dɪsˈkɹɪmɪnəˌtɔɹi/ | discriminatorio, discriminador |
| intangible adjetivo | /ɪnˈtæn.d͡ʒə.bəl/ | intangible |
| specialization sustantivo | [ˌspɛʃəlaɪ̯ˈzeɪ̯ʃn̩] | especialización |
| darn verbo | /dɑɹn/ | zurcir, surcir |
| beforehand adverbio | /bɪˈfɔɹhænd/ | de antemano, anticipadamente |
| maximize verbo | /ˈmæksəmaɪz/ | maximizar, extremar |
| query sustantivo | /ˈkwɪɹ.i/ | consulta, pregunta |
| competitor sustantivo | /kəmˈpɛt.ɪ.tɚ/ | contrincante |
| analyze verbo | /ˈæn.əˌlaɪz/ | analizar |
Phrasal verbs que vas a escuchar
| Palabra | Significado |
|---|---|
| check out verbo | investigar, chequear |
| figure out verbo | averiguar, captar |
| find out verbo | averiguar, anoticiarse |
| pick up on verbo | percatarse de, pillar |
| wrap up verbo | envolver, arrebujar |
Pronunciación a tener en cuenta
El hablante usa 34 contracciones y formas reducidas, como you're, we're, you've. Dilas en su forma corta, tal como las oyes.
- Los sonidos de “sh” y “zh”: visualization /ˌvɪʒ.ʊ.ə.laɪˈzeɪ.ʃən/, retention /ɹɪˈtɛnʃən/, specialization [ˌspɛʃəlaɪ̯ˈzeɪ̯ʃn̩], qualification /ˌkwɑlɪfɪˈkeɪʃən/
- Palabras largas — cuida el acento: analytics /ˌæn.əˈlɪt.ɪks/, visualization /ˌvɪʒ.ʊ.ə.laɪˈzeɪ.ʃən/, analytical /ˌæn.əˈlɪt.ɪ.kəl/, discriminatory /dɪsˈkɹɪmɪnəˌtɔɹi/, intangible /ɪnˈtæn.d͡ʒə.bəl/
Sonidos difíciles para hispanohablantes:
- s + consonante al inicio — sin añadir una “e” delante: stakeholder /ˈsteɪkˌhəʊl.də/, specialization [ˌspɛʃəlaɪ̯ˈzeɪ̯ʃn̩]
- /z/ — sonora, no /s/: visualization /ˌvɪʒ.ʊ.ə.laɪˈzeɪ.ʃən/, specialization [ˌspɛʃəlaɪ̯ˈzeɪ̯ʃn̩], maximize /ˈmæksəmaɪz/, analyze /ˈæn.əˌlaɪz/, seasonal /ˈsiːzənəl/
- /dʒ/ — no es la “y” ni la “ch”: intangible /ɪnˈtæn.d͡ʒə.bəl/, adjust /əˈd͡ʒʌst/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
- Grábate y compara con el original, prestando atención a palabras como airline, analytics, visualization.
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.